Title :
A New Semi-supervised Clustering Mehtod Based on Convex Hull
Author :
Guiliang, Wang ; Xiangqian, Ding ; Bo, Liu ; Peiyong, Xia
Author_Institution :
Ocean Univ. of China, Qingdao, China
Abstract :
This paper introduce the theory of convex hulls into the semi-supervised clustering, and through combining them, we come up with a new thought to the semi-supervise clustering. Then we verify the feasibility of the convex hull in the semi-supervised clustering through experiment which be carried in the two dimensional space.
Keywords :
pattern clustering; convex hull theory; semi-supervised clustering method; Accuracy; Classification algorithms; Clustering algorithms; Image edge detection; Iris; Monitoring; Software algorithms; clustering; convex hull; semi-supervised;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
Conference_Location :
Shenzhen, Guangdong
Print_ISBN :
978-1-61284-289-9
DOI :
10.1109/ICICTA.2011.544
